import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
from plotly import graph_objects as go
from pylab import *
sns.set_theme()
df = pd.read_csv("issues.csv")
df = df[df['year']==2021]
df = pd.DataFrame(df.groupby('name')['count'].sum().nlargest(10))
df.reset_index(inplace=True)
df["count"] = df["count"]//1000
display(df)
| name | count | |
|---|---|---|
| 0 | Python | 328 |
| 1 | JavaScript | 275 |
| 2 | Java | 228 |
| 3 | TypeScript | 190 |
| 4 | Go | 172 |
| 5 | C++ | 168 |
| 6 | PHP | 117 |
| 7 | C# | 102 |
| 8 | C | 90 |
| 9 | Ruby | 48 |
# Creación de la paleta de colores
cmap = cm.get_cmap('Pastel1', 10)
color_list = [matplotlib.colors.rgb2hex(cmap(i)[:3]) for i in range(cmap.N)]
# Creación de la figura
fig = go.Figure(go.Funnel(
y = df["name"].to_list(),
x = df["count"].to_list(),
textposition = "inside",
textinfo = "label+value",
opacity = 0.85, marker = {"color": color_list}))
fig.update_yaxes(visible=False, showticklabels=False)
fig.show()